WWE has an Enterprise Data Warehouse and continues to focus on improving the data-driven decision making and automation processes. This role will be reporting to the Senior Director, Data Platform Engineering and supervise the team of ETL Developers, Data Engineers, QA and Data analysts who build, enhance and optimize ETL (Extract, Transform, Load) jobs, implement data lake and warehouse solutions and manage their day-to-day tasks. The Senior Software Engineer will be responsible for the continued success of the data warehouse release cycle process, prioritizing items for inclusion and ensuring those tasks are completed per schedule. The candidate must have strong data lake, data warehouse, data pipeline design/development, data modeling, SQL, AWS Cloud, and Big Data Technologies experience.

You will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with operations, data science and the business segments to build batch and real-time data solutions. The role will be part of the Data Platform Engineering team supporting WWE Corporate Marketing, Products, Content, and Consumer business units. This is also a hands-on position, requiring extensive experience developing and maintaining complex data warehouse and data transformation processes on AWS cloud as well as good decision making, leadership, time management, prioritization and escalation skills are required to ensure all objectives are met

Key Responsibilities:
• Oversee the on-going development of the enterprise data warehouse using inputs from the business end-user's perspective to produce timely and accurate information for management decision making and planning
• Supervise the EDW/ETL team, including the design and development of the data warehouse
• Evaluate EDW/ETL team members and provide input into the performance planning and evaluation process
• Work with business stakeholders and data SMEs to clarify requirements and business rules
• Responsible for the prompt, courteous and efficient management of all support requests to the Data Warehouse team, including ad-hoc data analysis requests
• Oversee efforts to design, develop, implement, and validate ETL processes
• Provide expertise and guidance in the creation and refinement of agile technical stories for data architecture and development
• Work with Data Management to establish governance processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata
• Assist in developing long-term strategies and capacity planning for meeting future data warehouse and data automation needs
• Experience in Delivering solutions using Agile methodologies and supporting tools like Jira
• Experience in building CI/CD pipelines on AWS and Google Cloud
• Conduct POC's for Data Integration tools, continuously assessing, automating and evolving data Integration roadmap
• Responsible for creating and maintaining inbound and outbound Data Delivery SLA's
• Document and maintain all the processes and procedures pertaining to ETL and data warehouse usage/development of the organization, including a data dictionary

Education
& Technical Experience Requirements
• Bachelor's in computer science, science, or similar technical degree
• 10+ years of hands-on experience in building data pipeline using traditional ETL tech stack and big data technologies
• 5+ years of experience with traditional ETL/ELT technologies such as Talend, Informatica, SSIS, MPP and NoSQL Databases with the recent experience on AWS cloud technologies
• 3+ years of experience with AWS services including S3, Lambda, Redshift, EMR, and RDS databases such as MySQL, DynamoDB
• 3+ years of experience with Hadoop, Hive, PySpark, Airflow, Talend Big Data Platform and Streaming Technologies (Kinesis/Kafka)
• 3+ years of experience in programming languages such as Python, R, Java, C#
• 3+ years of team management experience
• Experience designing, deploying, and supporting production cloud services in AWS ecosystem including EC2, VPC, SQS, RDS, ELB, EBS, S3, KMS, Redshift
• Solid experience in data modeling, star/snowflake schemas design/development, and dimensional modeling
• Proficient in Data warehousing theory, practice and combined with strong hands-on experience in data warehousing, frameworks development and data architecture
• Hands-on experience in managing and delivering high performance ETL solutions
• Must have experience in implementing the end to end data warehousing solution
• Excellent communication and collaboration skills
• Able to sell concepts and designs / benefits to multiple audiences
• Able to work within a cross-functional team environment with people from multiple business units, vendors, countries and cultures.
• Experience in .Net, C#, Java, Web Development is a plus
• Experience in Social Media Datasets such as Twitter, YouTube, Facebook, Instagram is a plus
• Experience in Google Clickstream, DFP, or Adobe Analytics datasets is a plus
• Experience in dealing with the Media content subscription-based datasets is a plus
• AWS Cloud Certification is a plus
• Experience in Media & Entertainment industry is a plus

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